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相关概念视频

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RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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单细胞测序实验的设计和分析

Dominic Grün1, Alexander van Oudenaarden2

  • 1Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), 3584 CT Utrecht, the Netherlands; University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CX Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany.

Cell
|November 7, 2015
PubMed
概括

单细胞测序提供了高分辨率的生物学见解,揭示了人体突变和细胞类型. 本书指导研究人员进行复杂的基因组和转录组技术的实验设计和数据分析.

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科学领域:

  • 基因组学
  • 分子生物学
  • 生物信息学

背景情况:

  • 单细胞测序为生物系统分析提供了前所未有的分辨率.
  • 单个细胞的基因组测序可以识别人体突变和克隆动态.
  • 单个细胞的转录组测序揭示了样本细胞类型的组成.

研究的目的:

  • 提供可用的单细胞测序方法的概述.
  • 讨论单细胞研究实验设计的关键方面.
  • 引导研究人员分析复杂的单细胞数据.

主要方法:

  • 各种单细胞测序技术的概述.
  • 设计单细胞实验的指南.
  • 介绍单细胞数据分析管道.

主要成果:

  • 单细胞测序可以在细胞水平上详细调查基因组和转录组变异.
  • 有效的实验设计对于克服单细胞测序的技术挑战至关重要.
  • 适当的数据分析策略对于解释复杂的单细胞数据集至关重要.

结论:

  • 单细胞测序是一种强大的生物发现工具.
  • 本书旨在促进单细胞测序技术的广泛采用和有效利用.
  • 研究人员可以利用这些准则来利用单细胞测序的潜力进行研究.